This paper explores the impact of technology on human interactions by integrating software engineering patterns to address business needs. A specialized development environment is proposed to enhance collaboration, focusing on bridging the technical and business perspectives through adaptable patterns. By leveraging classic and emergent software patterns, the approach supports real-time feedback and iterative improvements, enabling agile development practices that align with evolving user and business requirements. Key contributions include a modular framework for improved team communication and a Conceptual Framework on Human Interaction (CFI), along with an Embedded Business and Safety Human-AI Interaction Pattern (EBSH-AI). These tools aim to enhance interaction across technical and business domains while addressing ethical considerations in AI, such as privacy and authenticity in lifelike avatars. The findings indicate that structured software patterns improve cross-functional communication, fostering productivity and trust in AI-driven environments. This research provides a pathway to more meaningful interactions and user-centered outcomes in software engineering, with particular emphasis on the emerging role of AI avatars in the Metaverse and their impact on business and social engagements.
This paper provides a concise overview of Agile and DevOps methodologies in software engineering. It aims to introduce readers to the fundamental principles of Agile and DevOps, accompanied by brief descriptions and practical examples. The advantages and disadvantages of each methodology are discussed, followed by a comparative analysis highlighting key differences. Understanding these methodologies is crucial in today’s IT landscape, as they are commonly employed in various organizations, impacting project management, team collaboration, and product delivery. This paper serves as a valuable resource for individuals seeking a basic understanding of Agile and DevOps methodologies in software engineering.
This paper explores the impact of technology on human interactions by integrating software engineering patterns to address business needs. A specialized development environment is proposed to enhance collaboration, focusing on bridging the technical and business perspectives through adaptable patterns. By leveraging classic and emergent software patterns, the approach supports real-time feedback and iterative improvements, enabling agile development practices that align with evolving user and business requirements. Key contributions include a modular framework for improved team communication and a Conceptual Framework on Human Interaction (CFI), along with an Embedded Business and Safety Human-AI Interaction Pattern (EBSH-AI). These tools aim to enhance interaction across technical and business domains while addressing ethical considerations in AI, such as privacy and authenticity in lifelike avatars. The findings indicate that structured software patterns improve cross-functional communication, fostering productivity and trust in AI-driven environments. This research provides a pathway to more meaningful interactions and user-centered outcomes in software engineering, with particular emphasis on the emerging role of AI avatars in the Metaverse and their impact on business and social engagements.
